We’re a small team and every hire makes a large impact, so we’re careful and thorough when it comes to hiring, but we are actively considering candidates and moving them through the process as quickly as we can.
About Our Engineering & Data Group
We are a quirky, talented, and humble group of about thirty people with diverse backgrounds, ranging from journalism to academia to international industry. We’re represented across the gender spectrum, with 36% of our Engineering and Data Group identifying as women and/or nonbinary. Several of us are parents, with more expecting.
Our group builds software to collect, analyze, and report data about coffee farmers’ conditions and practices. This large-scale data-collection effort requires many moving parts to work together, and we use technology to support that effort at every step of the process — from identifying coffee farms in satellite imagery, to coordinating survey edits across country teams, to detecting data anomalies in real-time that can be investigated while teams are still in the field. A core part of our work is in data aggregation and report generation, with insights ultimately being shared with roasters and other stakeholders on how to assist in improving the social, economic, and environmental conditions of smallholder farmers.
Our backend systems use Python and PostgreSQL/PostGIS, running in containerized services on AWS. We use GitHub and CI/CD, and Terraform for newer services.